[ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/Head", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE", "http://www.nanopub.org/nschema#hasAssertion": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/assertion" } ], "http://www.nanopub.org/nschema#hasProvenance": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/provenance" } ], "http://www.nanopub.org/nschema#hasPublicationInfo": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/pubinfo" } ], "@type": [ "http://www.nanopub.org/nschema#Nanopublication" ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/provenance", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/assertion", "http://www.w3.org/ns/prov#wasAttributedTo": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/assertion", "@graph": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/cellprofiler-ar-tracking-outcome", "http://schema.org/endDate": [ { "@value": "2026-06-22", "@type": "http://www.w3.org/2001/XMLSchema#date" } ], "@type": [ "https://w3id.org/sciencelive/o/terms/FORRT-Replication-Outcome" ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "CellProfiler tracker recovers coherent atmospheric-river tracks cross-discipline" } ], "https://w3id.org/sciencelive/o/terms/hasConclusionDescription": [ { "@value": "he CellProfiler object-tracking pipeline (IdentifyPrimaryObjects + TrackObjects, Overlap method), built to follow dividing nuclei in fluorescence time-lapse and applied without modification, detects and tracks atmospheric rivers across an ERA5 IVT time-series. On the early-February 2017 North Pacific atmospheric-river sequence (6-hourly), it recovered five distinct AR tracks across the ten-day window and followed one persistent river for twenty-two consecutive 6-hourly steps (about five and a half days). The same Galaxy CellProfiler workflow runs end-to-end on Galaxy Europe (usegalaxy.eu) with all thirteen steps green — including the final Run CellProfiler pipeline runner — producing TrackObjects tracking measurements on a public history, demonstrating the cross-discipline method transfer executes in the Galaxy environment. The bioimaging \"track many bright objects, including ones that divide\" behaviour therefore carries over to Earth-system object tracking." } ], "https://w3id.org/sciencelive/o/terms/hasConfidenceLevel": [ { "@id": "https://w3id.org/sciencelive/o/terms/Moderate" } ], "https://w3id.org/sciencelive/o/terms/hasEvidenceDescription": [ { "@value": "ERA5 IVT, North Pacific (15-60N, 170-250E), 2017-02-02 to 2017-02-11, 6-hourly, ARCO-ERA5 (anonymous). Detection used the Guan & Waliser (2015) criteria (IVT > 250, length > 2000 km, length/width > 2, poleward flux > 50). Local same-algorithm path (results/track_summary.json): 5 AR tracks; mean 1.33 ARs per detected frame; longest track = 22 frames (about 5.5 days); maximum AR length = 9,559 km; peak IVT in window = 1,625 kg m^-1 s^-1. Per-object tracks (frame, time, track_id, centroid, length_km, IVT, poleward) are in results/tracks.csv; the headline montage + recovered trajectories are in figures/main_result.png and the ARs-per-timestep + peak-IVT plot in figures/robustness.png. Galaxy Europe verification (live, 2026-06-23): workflow/main_workflow.ga — rebuilt from the GTN tutorial's own workflow (gxy.io/GTN:T00516) and retargeted to the IVT frames — runs end-to-end with all 13 steps green, including the final Run CellProfiler pipeline runner; the run produced TrackObjects tracking tables (93 object-instances across the series, 11 TrackObjects columns incl. displacement, distance-travelled, lifetime, trajectory) and tracked PNGs on a public history (https://usegalaxy.eu/histories/view?id=11ac94870d0bb33ad591597e3e548295). The Galaxy run uses the tutorial's default CellProfiler parameters; the quantitative AR characterisation above (Guan & Waliser criteria) is the byte-comparable local same-algorithm path.\n\nGithub repository: https://github.com/annefou/fiesta-galaxy-cellprofiler-eo" } ], "https://w3id.org/sciencelive/o/terms/hasLimitationsDescription": [ { "@value": "This establishes feasibility of cross-discipline method transfer, not detection accuracy: the recovered ARs are not benchmarked against an independent reference catalog (e.g. tARget/ARTMIP), so agreement with community AR databases is not quantified here. A single basin and a single multi-day event were analysed, with one fixed IVT threshold (250 kg m^-1 s^-1) rather than the percentile-based threshold used in some catalogs. The Galaxy run executes end-to-end but uses the tutorial's default CellProfiler parameters (object size and threshold inherited from gxy.io/GTN:T00516), so its tracked objects are not filtered by the AR-specific geometric and physical criteria; the quantitative AR tracks reported here are from the byte-comparable local same-algorithm path, which applies the full Guan & Waliser criteria." } ], "https://w3id.org/sciencelive/o/terms/hasOutcomeRepository": [ { "@id": "https://doi.org/10.5281/zenodo.20811614" } ], "https://w3id.org/sciencelive/o/terms/hasValidationStatus": [ { "@id": "https://w3id.org/sciencelive/o/terms/Validated" } ], "https://w3id.org/sciencelive/o/terms/isOutcomeOf": [ { "@id": "https://w3id.org/sciencelive/np/RAMCIV3OiYyQl2edJEQxH6x7_b8-1JB-d8meP6o9pJU5s/cellprofiler-ar-tracking-study" } ] } ] }, { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/pubinfo", "@graph": [ { "@id": "https://orcid.org/0000-0002-1784-2920", "http://xmlns.com/foaf/0.1/name": [ { "@value": "Anne Fouilloux" } ] }, { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE", "http://purl.org/dc/terms/created": [ { "@value": "2026-06-23T10:20:36.207Z", "@type": "http://www.w3.org/2001/XMLSchema#dateTime" } ], "http://purl.org/dc/terms/creator": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ], "http://purl.org/dc/terms/license": [ { "@id": "https://creativecommons.org/licenses/by/4.0/" } ], "http://purl.org/nanopub/x/introduces": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/cellprofiler-ar-tracking-outcome" } ], "http://purl.org/nanopub/x/wasCreatedAt": [ { "@id": "https://platform.sciencelive4all.org" } ], "http://www.w3.org/2000/01/rdf-schema#label": [ { "@value": "CellProfiler tracker recovers coherent atmospheric-river tracks cross-discipline" } ], "https://w3id.org/np/o/ntemplate/wasCreatedFromTemplate": [ { "@id": "https://w3id.org/np/RA2zljn0Nw9SadppOyxZoh-_Rxosslrq-vYG-p9SttnJE" } ] }, { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE/sig", "http://purl.org/nanopub/x/hasAlgorithm": [ { "@value": "RSA" } ], "http://purl.org/nanopub/x/hasPublicKey": [ { "@value": "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" } ], "http://purl.org/nanopub/x/hasSignature": [ { "@value": "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" } ], "http://purl.org/nanopub/x/hasSignatureTarget": [ { "@id": "https://w3id.org/sciencelive/np/RAtYPP0Z0nsACz8KP0sIHBvrnXf8390hliiM-GtrdLgyE" } ], "http://purl.org/nanopub/x/signedBy": [ { "@id": "https://orcid.org/0000-0002-1784-2920" } ] } ] } ]